Sr Data Engineer

Primary

Data Engineering & Analytics

• Background in data engineering concepts, pipelines, and data quality practices.
• Working knowledge of Azure Data Explorer (Kusto) and Cosmos DB, including query patterns and data modeling.
• Experience validating datasets, performing thorough self-reviews, and ensuring the reasonableness and integrity of results.
• Familiarity with data cleaning, processing, and preparing datasets for downstream use (e.g., analytics, reporting, dashboards).
• Experience with Power BI or similar BI tools to support analysis and executive reporting is a plus

Software Engineering & Production Readiness

• Strong understanding of modern software development life cycles and code promotion to production.
• Hands-on experience with Azure Dev Ops (ADO) pipelines, CI/CD workflows, and release management.
• Familiarity with enterprise security, privacy, and compliance reviews required to ship production software.
• Experience working with source control (e.g., Git) and managing multiple source‑controlled assets with a focus on auditability, code quality, and minimizing technical debt.
• Ability to operate effectively within established engineering governance and quality standards.

Secondary:

AI & Prompt Engineering

• Practical experience working with AI systems from a prompt engineering perspective.
• Ability to design, test, and iterate prompts to drive reliable, repeatable, and scalable outcomes.

Comfort integrating AI-driven workflows into broader software and data engineering systems